Triple

T1379170
Position Surface form Disambiguated ID Type / Status
Subject La Roche-Posay E29296 entity
Predicate ownedBy P347 FINISHED
Object L’Oréal Group E4816 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: L’Oréal Group | Statement: [La Roche-Posay, ownedBy, L’Oréal Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Oréal Group
Context triple: [La Roche-Posay, ownedBy, L’Oréal Group]
  • A. L'Oréal chosen
    L'Oréal is a French multinational cosmetics and beauty company recognized as one of the world’s largest and most influential personal care brands.
  • B. Lancôme
    Lancôme is a French luxury cosmetics and skincare brand renowned for its high-end perfumes, makeup, and beauty products.
  • C. Unilever
    Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
  • D. LVMH
    LVMH is a French multinational luxury conglomerate that owns a wide portfolio of prestigious brands across fashion, jewelry, cosmetics, wines, and spirits.
  • E. Procter & Gamble
    Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3187f248190a5813274b0ef944d completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3a615c8190a428d049de4ba023 completed March 8, 2026, 6:26 p.m.
Created at: March 1, 2026, 7:59 p.m.